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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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for the next generation of models is the detailed treatment of spin precession and orbital eccentricity. These effects encode critical information about compact binary formation channels and evolutionary
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Driven by our data hungry society, chip-to-chip and device-to-device data bit rates will need to reach terabits per second in a not distant future. Such data rate will only be met if there is a
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An interdisciplinary and international research environment Professional development in research communication, data analysis, and project management How to Apply Please send the following documents as a single PDF to
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data of indoor spaces and work with real-life scenarios. Informal enquiries can be directed to Dr Bruño Fraga (b.fraga@bham.ac.uk ) and Dr Isabel Morales-Muñoz (i.morales-munoz@bham.ac.uk ). Application
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peristalsis throughout the intestine. The outcome will address a clear clinical need by providing sensitive, localized motility data to improve diagnosis of neuromechanical GI disorders. The sensor will rely
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rigidity to penetrate without damaging tissue and stability against peristalsis. The device will also include onboard electronics for wireless data transfer to an external receiver. The device will be tested
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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, migration, invasion, and genetic instability. Although PBF’s primary function remains unclear, our recent data reveal a physiological role in cell adhesion and motility. Tyrosine phosphorylation is a key
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-integrative-biosciences-training-partnership References: For more information and recent publications from the group, please refer to: https://www.leney-mass-spectrometry.com/ How to apply: To apply, please